Introduction To Biostatistical Applications In Health Research With Microsoft Office Excel And R 2nd Edition (Original PDF From Publisher)

Introduction To Biostatistical Applications In Health Research With Microsoft Office Excel And R 2nd Edition (Original PDF From Publisher)

By Robert P. Hirsch The second edition of Introduction to Biostatistical Applications in Health Research delivers a thorough examination of the basic techniques

and most commonly used statistical methods in health research.

Retaining much of what was popular with the well-received first edition, the thoroughly revised second edition includes a new chapter on testing assumptions

and how to evaluate whether those assumptions are satisfied and what to do if they are not.

The newest edition contains brand-new code examples for using the popular computer language R to perform the statistical analyses described in the chapters

within.

You’ll learn how to use Excel to generate datasets for R, which can then be used to conduct statistical calculations on your data.

The book also includes a companion website with a new version of BAHR add-in programs for Excel.

This new version contains new programs for nonparametric analyses, Student-Newman-Keuls tests  and stratified analyses. Readers will also benefit from

coverage of topics like: Extensive discussions of basic and foundational concepts in statistical methods, including Bayes’ Theorem, populations and samples A

treatment of univariable analysis, covering topics like continuous dependent variables and ordinal dependent variables An examination of bivariable analysis,

including regression analysis and correlation analysis An analysis of multivariate calculations in statistics and how testing assumptions, like assuming Gaussian

distributions or equal variances, affect statistical outcomes Perfect for health researchers of all kinds, Introduction to Biostatistical Applications in Health

Research also belongs on the bookshelves of anyone who wishes to better understand health research literature.

Even those without a great deal of mathematical background will benefit greatly from this text.